Data Scientist - MeshMesh

Salesforce•Seattle, WA

3d•$148,500 - $246,000

About The Position

The Data Scientist will join Salesforce’s MeshMesh team, which is building a next-generation mesh networking platform for Salesforce customers. The role partners with Product, Infrastructure, and Engineering teams to inform product strategy with data-driven insights, identify growth opportunities, and shape the product roadmap. It also advises senior leadership on strategic objectives, product direction, growth, and retention; creates and shares analytical findings; and works across data and engineering teams to deliver data products and automated model deployment pipelines. The role also supports Salesforce’s data culture through learning sessions, new tools, and process improvements.

Requirements

At least 5 years of experience in product analytics or data science.
Analytical thinking and use of data and scientific methods to solve business problems.
Proficiency in analytical programming languages such as Python and expert-level SQL.
Expertise in end-to-end data development, including model design, quality review, deployment, and maintenance.
Experience building with Claude or similar AI coding tools, using agent loops, tool use, and grounded context engineering to ship code quickly.
Experience developing and deploying data science models in a cloud environment.
Ability to communicate insights compellingly and lead growth conversations with senior leadership.
Enjoys building relationships and collaborating in a cross-disciplinary environment.
A related technical degree.

Nice To Haves

Experience with technologies for storing and analyzing large amounts of data, such as Spark, Presto, or Hive.
Experience with time series forecasting methods.

Responsibilities

Partner with senior leadership (VP+) to advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies.
Acquire and clean data, build data models, and distribute insights such as performance drivers, retention analysis, and behavioral personas.
Partner with data engineering and product engineering to instrument and structure data assets that measure product success.
Work with data and business intelligence engineers to deliver data products, including pipelines, algorithms, and self-service dashboards.
Research, develop, and implement automated algorithm deployment pipelines.
Promote data products that drive action or product improvement.
Help grow Salesforce’s data culture through learning sessions, new tools, and process improvements.